refs #731: enrich Text2SQL prompts with QA examples

.env.example

@@ -57,6 +57,8 @@ export BACKOFFICE_SELECT_AI_DB_URL="${BACKOFFICE_DB_URL}"
 export BACKOFFICE_SELECT_AI_DB_USERNAME=""
 export BACKOFFICE_SELECT_AI_DB_PASSWORD=""
 export BACKOFFICE_SELECT_AI_PROFILE=""
+export BACKOFFICE_SELECT_AI_FEW_SHOT_ENABLED="true"
+export BACKOFFICE_SELECT_AI_FEW_SHOT_TOP_K="3"
 
 # 공통 데이터 카탈로그. objects는 key/tableName/objectType/businessName/description JSON 배열입니다.
 # 배포 환경마다 반드시 실제 소유자와 허용 객체를 지정합니다.

docs/design/727-sgmp-qa-vector-mcp-tools/README.md

@@ -37,9 +37,13 @@
 3. 기존 Text2SQL 도구로 SQL을 생성·검토·실행한다.
 4. 검토 통과한 질문·생성 SQL·필요 시 답변을 `qa_vector_store`로 저장한다.
 
-현재 MCP는 검색 결과를 반환한다. Text2SQL tool의 내부 Select AI prompt에
-자동 주입하는 변경은 별도 단계로 두어, 검색 결과와 실제 prompt 구성을
-운영자가 먼저 확인할 수 있게 한다.
+Text2SQL은 `BACKOFFICE_SELECT_AI_FEW_SHOT_ENABLED`가 true일 때 검색 결과의
+상위 `BACKOFFICE_SELECT_AI_FEW_SHOT_TOP_K`개(기본 3, 최대 3)를 내부 프롬프트에
+자동 보강한다. 예제는 현재 object list·게임 별칭 해석·정책을 대체하지 않으며,
+보강 실패 또는 일치 예제 없음은 기존 Text2SQL 경로를 중단시키지 않는다.
+
+고객 질문 재평가에서 FAIL이 확인되면 기준 SQL을 검토한 뒤에만 저장하고, 같은
+질문을 다시 실행해 `fewShotStatus=APPLIED` 및 판정 개선 여부를 기록한다.
 
 ## Smilegate 포털 allowlist
 

src/main/java/com/cloudhandson/vpdbackoffice/config/BackofficeProperties.java

@@ -79,9 +79,15 @@ public record BackofficeProperties(
       String dbUrl,
       String dbUsername,
       String dbPassword,
-      String profile
+      String profile,
+      Boolean fewShotEnabled,
+      Integer fewShotTopK
   ) {
 
+    public SelectAi(String dbUrl, String dbUsername, String dbPassword, String profile) {
+      this(dbUrl, dbUsername, dbPassword, profile, true, 3);
+    }
+
     public boolean configured() {
       return dbUrl != null && !dbUrl.isBlank()
           && dbUsername != null && !dbUsername.isBlank()

src/main/java/com/cloudhandson/vpdbackoffice/service/SelectAiService.java

@@ -17,6 +17,7 @@ import java.sql.Statement;
 import java.time.Clock;
 import java.time.LocalDateTime;
 import java.time.ZoneId;
+import java.util.List;
 import java.util.regex.Pattern;
 import org.springframework.stereotype.Service;
 
@@ -29,6 +30,9 @@ public class SelectAiService {
   private static final int MAX_PROMPT_LENGTH = 4_000;
   private static final int MAX_RESULT_ROWS = 100;
   private static final int QUERY_TIMEOUT_SECONDS = 30;
+  private static final int MAX_FEW_SHOT_EXAMPLES = 3;
+  private static final int MAX_FEW_SHOT_SQL_CHARS = 4_000;
+  private static final int MAX_ENRICHED_PROMPT_LENGTH = 16_000;
   private static final Pattern UNSAFE_SQL = Pattern.compile(
       "(?is)\\b(?:insert|update|delete|merge|alter|drop|create|truncate|grant|revoke|"
           + "commit|rollback|savepoint|lock|call|exec(?:ute)?|begin|declare|for\\s+update|"
@@ -39,17 +43,20 @@ public class SelectAiService {
   private final BearerTokenService bearerTokenService;
   private final Clock clock;
   private final ObjectMapper objectMapper;
+  private final QaVectorService qaVectorService;
 
   public SelectAiService(
       BackofficeProperties properties,
       BearerTokenService bearerTokenService,
       Clock clock,
-      ObjectMapper objectMapper
+      ObjectMapper objectMapper,
+      QaVectorService qaVectorService
   ) {
     this.properties = properties;
     this.bearerTokenService = bearerTokenService;
     this.clock = clock;
     this.objectMapper = objectMapper;
+    this.qaVectorService = qaVectorService;
   }
 
   public JsonNode generateAndExecute(String bearerToken, String prompt) {
@@ -57,12 +64,16 @@ public class SelectAiService {
     String normalizedPrompt = requiredPrompt(prompt);
     BackofficeProperties.SelectAi selectAi = requiredSelectAi();
 
-    String generatedSql = generate(selectAi, normalizedPrompt, "showsql");
+    EnrichedPrompt enrichedPrompt = enrichWithFewShot(bearerToken, selectAi, normalizedPrompt);
+    String generatedSql = generate(selectAi, enrichedPrompt.prompt(), "showsql");
     String normalizedSql = validateReadOnlySql(generatedSql);
     QueryExecution execution = executeReadOnly(selectAi, normalizedSql);
     ObjectNode response = objectMapper.createObjectNode();
     response.put("status", "SHOWSQL_AND_EXECUTED");
     response.put("profile", selectAi.profile());
+    response.put("originalPrompt", normalizedPrompt);
+    response.put("fewShotStatus", enrichedPrompt.status());
+    response.put("fewShotExampleCount", enrichedPrompt.exampleCount());
     response.put("generatedSql", normalizedSql);
     response.put("execution", "READ_ONLY_EXECUTED");
     response.put("rowCount", execution.items().size());
@@ -79,11 +90,15 @@ public class SelectAiService {
     requireActiveToken(bearerToken);
     String normalizedPrompt = requiredPrompt(prompt);
     BackofficeProperties.SelectAi selectAi = requiredSelectAi();
-    String selectAiPrompt = generate(selectAi, normalizedPrompt, "showprompt");
+    EnrichedPrompt enrichedPrompt = enrichWithFewShot(bearerToken, selectAi, normalizedPrompt);
+    String selectAiPrompt = generate(selectAi, enrichedPrompt.prompt(), "showprompt");
 
     ObjectNode response = objectMapper.createObjectNode();
     response.put("status", "SHOWPROMPT");
     response.put("profile", selectAi.profile());
+    response.put("originalPrompt", normalizedPrompt);
+    response.put("fewShotStatus", enrichedPrompt.status());
+    response.put("fewShotExampleCount", enrichedPrompt.exampleCount());
     response.put("selectAiPrompt", selectAiPrompt);
     return response;
   }
@@ -146,6 +161,75 @@ public class SelectAiService {
     }
   }
 
+  private EnrichedPrompt enrichWithFewShot(
+      String bearerToken,
+      BackofficeProperties.SelectAi selectAi,
+      String prompt
+  ) {
+    if (!fewShotEnabled(selectAi) || qaVectorService == null) {
+      return new EnrichedPrompt(prompt, "DISABLED", 0);
+    }
+    try {
+      List<QaVectorService.VectorExample> examples = qaVectorService
+          .search(bearerToken, prompt, fewShotTopK(selectAi))
+          .examples();
+      if (examples.isEmpty()) {
+        return new EnrichedPrompt(prompt, "NO_MATCH", 0);
+      }
+      return new EnrichedPrompt(
+          composeFewShotPrompt(prompt, examples), "APPLIED", Math.min(examples.size(), MAX_FEW_SHOT_EXAMPLES));
+    } catch (Exception ignored) {
+      // Vector retrieval is an optional prompt aid; preserve the normal Text2SQL path on failure.
+      return new EnrichedPrompt(prompt, "UNAVAILABLE", 0);
+    }
+  }
+
+  static String composeFewShotPrompt(String prompt, List<QaVectorService.VectorExample> examples) {
+    StringBuilder enriched = new StringBuilder(
+        "Answer the original user question using the current approved object list and policy. "
+            + "The verified examples below are guidance only: use only relevant SQL patterns, do not invent "
+            + "identifiers, and do not override current metadata or game-alias resolution policy.\n\n"
+            + "Verified few-shot examples:\n");
+    int included = 0;
+    for (QaVectorService.VectorExample example : examples) {
+      if (included >= MAX_FEW_SHOT_EXAMPLES) {
+        break;
+      }
+      String answerSql = truncate(example.answerSql(), MAX_FEW_SHOT_SQL_CHARS);
+      if (answerSql.isBlank()) {
+        continue;
+      }
+      String candidate = "Example " + (included + 1) + " question:\n" + example.question()
+          + "\nExample " + (included + 1) + " verified SQL:\n" + answerSql + "\n\n";
+      if (enriched.length() + candidate.length() + prompt.length() > MAX_ENRICHED_PROMPT_LENGTH) {
+        break;
+      }
+      enriched.append(candidate);
+      included++;
+    }
+    if (included == 0) {
+      return prompt;
+    }
+    return enriched.append("Original user question:\n").append(prompt).toString();
+  }
+
+  private static String truncate(String value, int maxLength) {
+    String normalized = value == null ? "" : value.trim();
+    return normalized.length() <= maxLength ? normalized : normalized.substring(0, maxLength);
+  }
+
+  private boolean fewShotEnabled(BackofficeProperties.SelectAi selectAi) {
+    return selectAi.fewShotEnabled() == null || selectAi.fewShotEnabled();
+  }
+
+  private int fewShotTopK(BackofficeProperties.SelectAi selectAi) {
+    Integer configured = selectAi.fewShotTopK();
+    if (configured == null) {
+      return MAX_FEW_SHOT_EXAMPLES;
+    }
+    return Math.max(1, Math.min(configured, MAX_FEW_SHOT_EXAMPLES));
+  }
+
   private QueryExecution executeReadOnly(BackofficeProperties.SelectAi selectAi, String generatedSql) {
     ArrayNode items = objectMapper.createArrayNode();
     boolean truncated = false;
@@ -233,4 +317,6 @@ public class SelectAiService {
   }
 
   private record QueryExecution(ArrayNode items, boolean truncated) {}
+
+  private record EnrichedPrompt(String prompt, String status, int exampleCount) {}
 }

src/main/resources/application.yml

@@ -75,6 +75,8 @@ backoffice:
     db-username: ${BACKOFFICE_SELECT_AI_DB_USERNAME:}
     db-password: ${BACKOFFICE_SELECT_AI_DB_PASSWORD:}
     profile: ${BACKOFFICE_SELECT_AI_PROFILE:}
+    few-shot-enabled: ${BACKOFFICE_SELECT_AI_FEW_SHOT_ENABLED:true}
+    few-shot-top-k: ${BACKOFFICE_SELECT_AI_FEW_SHOT_TOP_K:3}
   catalog:
     owner: ${BACKOFFICE_CATALOG_OWNER:}
     objects: ${BACKOFFICE_CATALOG_OBJECTS:}

src/test/java/com/cloudhandson/vpdbackoffice/service/McpSseServiceTest.java

@@ -196,7 +196,7 @@ class McpSseServiceTest {
     private boolean showpromptCalled;
 
     private CapturingSelectAiService() {
-      super(null, null, null, new ObjectMapper());
+      super(null, null, null, new ObjectMapper(), null);
     }
 
     @Override

src/test/java/com/cloudhandson/vpdbackoffice/service/SelectAiFewShotPromptTest.java

@@ -0,0 +1,30 @@
+package com.cloudhandson.vpdbackoffice.service;
+
+import static org.assertj.core.api.Assertions.assertThat;
+
+import java.util.List;
+import org.junit.jupiter.api.Test;
+
+class SelectAiFewShotPromptTest {
+
+  @Test
+  void includesVerifiedExamplesBeforeTheOriginalQuestion() {
+    String prompt = SelectAiService.composeFewShotPrompt(
+        "current active users",
+        List.of(new QaVectorService.VectorExample(
+            7L,
+            "active users by game",
+            "SELECT COUNT(*) AS AU_COUNT FROM APP_USER",
+            "AU count",
+            "cohere.embed-v4.0",
+            0.01
+        ))
+    );
+
+    assertThat(prompt)
+        .contains("Verified few-shot examples")
+        .contains("SELECT COUNT(*) AS AU_COUNT FROM APP_USER")
+        .contains("Original user question:\ncurrent active users")
+        .contains("current approved object list and policy");
+  }
+}